code: def _decoder(c: TransformerConfigs):
      """
      Decoder
      """
      return Decoder(c.decoder_layer, c.n_layers)
  
imports: import copy
  import torch.nn
  from labml.configs import BaseConfigs, option, calculate, aggregate
  from labml_helpers.module import Module
  from .feed_forward import FeedForward
  from .mha import MultiHeadAttention
  from .models import EmbeddingsWithPositionalEncoding, EmbeddingsWithLearnedPositionalEncoding, TransformerLayer, Encoder, Decoder, Generator, EncoderDecoder
label_desc: Use image node_id 10 for calling a global function with example usage: _decoder(c) and returns: Decoder